Machine Learning Engineer II

What You'll Do:

• Design, deploy, fine-tune, and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases. 

• Improve data quality by cleaning the company’s data and sourcing information from new data sources. 

• Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools. 

• Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas 

• such as copilot systems, intelligent voice assistants, and work order processing optimization. 

• Collaborate cross-functionally with teams to develop, refine, and scale data-driven procedures and workflows. 

• Foster a positive team environment. 

• Ensure confidentiality and integrity of internal and external data. 

• Perform ad-hoc projects and other duties as assigned. 

You Should Have:

 
Minimum Qualifications 

 

• PhD or Master’s degree in Math, Physics, Statistics, Computer Science, or other related fields 

• 1-3 years of experience as a data scientist, working closely within a business 

• Strong mathematical and statistical skills 

• Programming Languages: SQL, Python 

• Understanding of ETL tools and database architecture 

• Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP 

• Prompt engineering experience 

• Experience using a machine learning framework e.g. scikit-learn, pytorch or similar 

• Experience with a statistical software (e.g. R, SAS) 

• Experience with natural language processing 

• Advanced knowledge of Data Warehousing and BI best practices 

• Experience with big data tools such as Spark, Hadoop, etc. 

• Experience with Tableau or Superset  

These are the professional skills we would expect from an individual fully established in this role.  

• Verbal Communication – Proficient  

• Written Communication – Proficient  

• Teamwork – Advanced 

• Relationships – Advanced 

• Organizational Awareness – Advanced 

• Learning Agility – Advanced  

• Analysis – Advanced  

• Problem Solving – Advanced  

• Process Orientation – Advanced 

• Prioritization – Advanced 

• Customer Service – Proficient 

• Process Orientation – Advanced 

• Negotiation - Advanced